Reinforcement Learning
Domain: AI Fundamentals
🎯 Motivation
An agent learns by trying actions and getting rewards or penalties, improving over time.
📋 Concrete Example
A robot learns to walk: each step forward gives reward, falling gives penalty. Over many tries it learns a good walking policy.
🔗 Analogy
Like training a dog with treats and scolding - it figures out good behavior by trial and error.